
import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 					lowerCamelCase__				(							__lowercase	,		unittest.TestCase):




	'''simple docstring'''




	_A								=	CodeGenTokenizer
	_A								=	CodeGenTokenizerFast
	_A								=	True
	_A								=	{'add_prefix_space': True}
	_A								=	False







	def   _lowerCamelCase							(   self						:List[str]		)						->					Optional[int]:
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								__UpperCamelCase      :  Dict       =   [
								    "l",
								    "o",
								    "w",
								    "e",
								    "r",
								    "s",
								    "t",
								    "i",
								    "d",
								    "n",
								    "\u0120",
								    "\u0120l",
								    "\u0120n",
								    "\u0120lo",
								    "\u0120low",
								    "er",
								    "\u0120lowest",
								    "\u0120newer",
								    "\u0120wider",
								    "<unk>",
								    "<|endoftext|>",
								]
								__UpperCamelCase      :  Dict       =   dict(zip(a	,  range(len(a		)		)		)		)
								__UpperCamelCase      :  Tuple       =   ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
								__UpperCamelCase      :  List[Any]       =   {"unk_token": "<unk>"}

								__UpperCamelCase      :  Any       =   os.path.join(self.tmpdirname	,  VOCAB_FILES_NAMES["vocab_file"]		)
								__UpperCamelCase      :  Optional[int]       =   os.path.join(self.tmpdirname	,  VOCAB_FILES_NAMES["merges_file"]		)
								with open(self.vocab_file	,  "w"	,  encoding="utf-8"		) as fp:
															fp.write(json.dumps(a		) + "\n"		)
								with open(self.merges_file	,  "w"	,  encoding="utf-8"		) as fp:
															fp.write("\n".join(a		)		)







	def   _lowerCamelCase							(   self						:Union[str, Any]	,  **a						:str		)						->					Optional[int]:
								kwargs.update(self.special_tokens_map		)
								return CodeGenTokenizer.from_pretrained(self.tmpdirname	,  **a		)







	def   _lowerCamelCase							(   self						:Any	,  **a						:List[Any]		)						->					Tuple:
								kwargs.update(self.special_tokens_map		)
								return CodeGenTokenizerFast.from_pretrained(self.tmpdirname	,  **a		)







	def   _lowerCamelCase							(   self						:List[Any]	,  a						:Optional[int]		)						->					Dict:
								__UpperCamelCase      :  List[str]       =   "lower newer"
								__UpperCamelCase      :  List[str]       =   "lower newer"
								return input_text, output_text







	def   _lowerCamelCase							(   self						:Tuple		)						->					List[Any]:
								__UpperCamelCase      :  Tuple       =   CodeGenTokenizer(self.vocab_file	,  self.merges_file	,  **self.special_tokens_map		)
								__UpperCamelCase      :  List[str]       =   "lower newer"
								__UpperCamelCase      :  List[Any]       =   ["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
								__UpperCamelCase      :  Dict       =   tokenizer.tokenize(a	,  add_prefix_space=a		)
								self.assertListEqual(a	,  a		)

								__UpperCamelCase      :  str       =   tokens + [tokenizer.unk_token]
								__UpperCamelCase      :  List[Any]       =   [1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(a		)	,  a		)







	def   _lowerCamelCase							(   self						:List[Any]		)						->					Dict:
								if not self.test_rust_tokenizer:
															return

								__UpperCamelCase      :  Dict       =   self.get_tokenizer()
								__UpperCamelCase      :  Union[str, Any]       =   self.get_rust_tokenizer(add_prefix_space=a		)

								__UpperCamelCase      :  Optional[int]       =   "lower newer"

								# Testing tokenization
								__UpperCamelCase      :  Union[str, Any]       =   tokenizer.tokenize(a	,  add_prefix_space=a		)
								__UpperCamelCase      :  int       =   rust_tokenizer.tokenize(a		)
								self.assertListEqual(a	,  a		)

								# Testing conversion to ids without special tokens
								__UpperCamelCase      :  List[Any]       =   tokenizer.encode(a	,  add_special_tokens=a	,  add_prefix_space=a		)
								__UpperCamelCase      :  List[str]       =   rust_tokenizer.encode(a	,  add_special_tokens=a		)
								self.assertListEqual(a	,  a		)

								# Testing conversion to ids with special tokens
								__UpperCamelCase      :  Optional[int]       =   self.get_rust_tokenizer(add_prefix_space=a		)
								__UpperCamelCase      :  List[str]       =   tokenizer.encode(a	,  add_prefix_space=a		)
								__UpperCamelCase      :  Optional[int]       =   rust_tokenizer.encode(a		)
								self.assertListEqual(a	,  a		)

								# Testing the unknown token
								__UpperCamelCase      :  Any       =   tokens + [rust_tokenizer.unk_token]
								__UpperCamelCase      :  Any       =   [1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
								self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(a		)	,  a		)







	def   _lowerCamelCase							(   self						:Optional[int]	,  *a						:Union[str, Any]	,  **a						:Optional[int]		)						->					Union[str, Any]:
								# It's very difficult to mix/test pretokenization with byte-level
								# And get both CodeGen and Roberta to work at the same time (mostly an issue of adding a space before the string)
								pass







	def   _lowerCamelCase							(   self						:Union[str, Any]	,  a						:Any=1_5		)						->					int:
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'		):
																						__UpperCamelCase      :  Optional[Any]       =   self.rust_tokenizer_class.from_pretrained(a	,  **a		)

																						# Simple input
																						__UpperCamelCase      :  Any       =   "This is a simple input"
																						__UpperCamelCase      :  str       =   ["This is a simple input 1", "This is a simple input 2"]
																						__UpperCamelCase      :  Dict       =   ("This is a simple input", "This is a pair")
																						__UpperCamelCase      :  List[str]       =   [
																						    ("This is a simple input 1", "This is a simple input 2"),
																						    ("This is a simple pair 1", "This is a simple pair 2"),
																						]

																						# Simple input tests
																						self.assertRaises(a	,  tokenizer_r.encode	,  a	,  max_length=a	,  padding="max_length"		)

																						# Simple input
																						self.assertRaises(a	,  tokenizer_r.encode_plus	,  a	,  max_length=a	,  padding="max_length"		)

																						# Simple input
																						self.assertRaises(
																						    a	,  tokenizer_r.batch_encode_plus	,  a	,  max_length=a	,  padding="max_length"	,  )

																						# Pair input
																						self.assertRaises(a	,  tokenizer_r.encode	,  a	,  max_length=a	,  padding="max_length"		)

																						# Pair input
																						self.assertRaises(a	,  tokenizer_r.encode_plus	,  a	,  max_length=a	,  padding="max_length"		)

																						# Pair input
																						self.assertRaises(
																						    a	,  tokenizer_r.batch_encode_plus	,  a	,  max_length=a	,  padding="max_length"	,  )







	def   _lowerCamelCase							(   self						:int		)						->					Union[str, Any]:
								__UpperCamelCase      :  Dict       =   CodeGenTokenizer.from_pretrained(self.tmpdirname	,  pad_token="<pad>"		)

								# Simple input
								__UpperCamelCase      :  Optional[Any]       =   "This is a simple input"
								__UpperCamelCase      :  Optional[int]       =   ["This is a simple input looooooooong", "This is a simple input"]
								__UpperCamelCase      :  Any       =   ("This is a simple input", "This is a pair")
								__UpperCamelCase      :  str       =   [
								    ("This is a simple input loooooong", "This is a simple input"),
								    ("This is a simple pair loooooong", "This is a simple pair"),
								]

								__UpperCamelCase      :  List[Any]       =   tokenizer.pad_token_id

								__UpperCamelCase      :  List[str]       =   tokenizer(a	,  padding="max_length"	,  max_length=3_0	,  return_tensors="np"		)
								__UpperCamelCase      :  str       =   tokenizer(a	,  padding=a	,  truncate=a	,  return_tensors="np"		)
								__UpperCamelCase      :  Union[str, Any]       =   tokenizer(*a	,  padding="max_length"	,  max_length=6_0	,  return_tensors="np"		)
								__UpperCamelCase      :  List[str]       =   tokenizer(a	,  padding=a	,  truncate=a	,  return_tensors="np"		)

								# s
								# test single string max_length padding
								self.assertEqual(out_s["input_ids"].shape[-1]	,  3_0		)
								self.assertTrue(pad_token_id in out_s["input_ids"]		)
								self.assertTrue(0 in out_s["attention_mask"]		)

								# s2
								# test automatic padding
								self.assertEqual(out_sa["input_ids"].shape[-1]	,  3_3		)
								# long slice doesn't have padding
								self.assertFalse(pad_token_id in out_sa["input_ids"][0]		)
								self.assertFalse(0 in out_sa["attention_mask"][0]		)
								# short slice does have padding
								self.assertTrue(pad_token_id in out_sa["input_ids"][1]		)
								self.assertTrue(0 in out_sa["attention_mask"][1]		)

								# p
								# test single pair max_length padding
								self.assertEqual(out_p["input_ids"].shape[-1]	,  6_0		)
								self.assertTrue(pad_token_id in out_p["input_ids"]		)
								self.assertTrue(0 in out_p["attention_mask"]		)

								# p2
								# test automatic padding pair
								self.assertEqual(out_pa["input_ids"].shape[-1]	,  5_2		)
								# long slice pair doesn't have padding
								self.assertFalse(pad_token_id in out_pa["input_ids"][0]		)
								self.assertFalse(0 in out_pa["attention_mask"][0]		)
								# short slice pair does have padding
								self.assertTrue(pad_token_id in out_pa["input_ids"][1]		)
								self.assertTrue(0 in out_pa["attention_mask"][1]		)







	def   _lowerCamelCase							(   self						:Union[str, Any]		)						->					Union[str, Any]:
								__UpperCamelCase      :  List[Any]       =   "$$$"
								__UpperCamelCase      :  Optional[Any]       =   CodeGenTokenizer.from_pretrained(self.tmpdirname	,  bos_token=a	,  add_bos_token=a		)

								__UpperCamelCase      :  str       =   "This is a simple input"
								__UpperCamelCase      :  Optional[int]       =   ["This is a simple input 1", "This is a simple input 2"]

								__UpperCamelCase      :  Optional[int]       =   tokenizer.bos_token_id

								__UpperCamelCase      :  Any       =   tokenizer(a		)
								__UpperCamelCase      :  List[str]       =   tokenizer(a		)

								self.assertEqual(out_s.input_ids[0]	,  a		)
								self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids		)		)

								__UpperCamelCase      :  int       =   tokenizer.decode(out_s.input_ids		)
								__UpperCamelCase      :  str       =   tokenizer.batch_decode(out_sa.input_ids		)

								self.assertEqual(decode_s.split()[0]	,  a		)
								self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa		)		)







	@slow
	def   _lowerCamelCase							(   self						:str		)						->					List[Any]:
								__UpperCamelCase      :  Tuple       =   CodeGenTokenizer.from_pretrained("Salesforce/codegen-350M-mono"		)

								__UpperCamelCase      :  Tuple       =   "\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"
								__UpperCamelCase      :  int       =   "\nif len_a > len_b:      result = a\nelse:      result = b"

								__UpperCamelCase      :  Optional[Any]       =   tokenizer.encode(a		)
								__UpperCamelCase      :  Optional[int]       =   ["^#", re.escape("<|endoftext|>"		), "^'''", "^\"\"\"", "\n\n\n"]
								__UpperCamelCase      :  Union[str, Any]       =   tokenizer.decode(a	,  truncate_before_pattern=a		)
								self.assertEqual(a	,  a		)







	def   _lowerCamelCase							(   self						:Optional[int]		)						->					Optional[Any]:
								pass

import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase    :   List[str]						=			logging.get_logger(__name__)




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:Dict	,  *a						:Tuple	,  **a						:List[Any]		)						->					None:
								warnings.warn(
								    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
								    " Please use PerceiverImageProcessor instead."	,  a	,  )
								super().__init__(*a	,  **a		)